Enterprise GenAI: Definition, Challenges, and Solutions
Blog post from AI21 Labs
As mainstream AI continues to grow, organizations are facing concerns such as inaccurate outputs, lack of specialized expertise, and safety issues. Enterprise AI is evolving to address these challenges by focusing on task-specific models (TSMs) that provide reliable and grounded results at a fraction of the cost compared to general-purpose AI. TSMs offer high accuracy by narrowing their generative power down to specific tasks and integrating external context, while also reducing technical complexity for organizations. Additionally, enterprise AI ensures safety by implementing rigorous measures to minimize risk of harmful outputs and maintain responsible model usage.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 13 | 3,669 | 412 | 154 | +40% |
| RAG | 2 | 1,867 | 232 | 78 | +54% |
| AI Guardrails | 1 | 172 | 71 | 28 | +54% |
| AI Model Fine-tuning | 1 | 787 | 151 | 83 | +58% |
| Data Pipeline | 1 | 626 | 177 | 74 | +22% |
| Real-time | 1 | 2,509 | 695 | 218 | -9% |
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